code: def _ffn_activation_relu():
      """
      ### ReLU activation
  
      $$\max(0, x)$$
      """
      return nn.ReLU()
  
imports: import copy
  import torch.nn
  from labml.configs import BaseConfigs, option, calculate, aggregate
  from labml_helpers.module import Module
  from .feed_forward import FeedForward
  from .mha import MultiHeadAttention
  from .models import EmbeddingsWithPositionalEncoding, EmbeddingsWithLearnedPositionalEncoding, TransformerLayer, Encoder, Decoder, Generator, EncoderDecoder
label_desc: Use image node_id 1 for calling a global function with example usage: _ffn_activation_relu() and returns: nn